With the development of science and technology and the continuous changes of social
environment, the development prospect of traditional cinema is worrying. This work aims to …

Optical complex-valued convolution can extract the feature of complex-valued data by
processing both amplitude and phase information, enabling a wide range of future …

In this paper, we propose a methodology for co-optimizing application specific neural
network (NN) accelerators for accuracy and energy expenditure per inference. The …

Approximate computing is known for its effectiveness in improvising the energy efficiency of
deep neural network (DNN) accelerators at the cost of slight accuracy loss. Very recently, the …

The number of Artificial Intelligence (AI) and Machine Learning (ML) designs is rapidly
increasing and certain concerns are raised on how to start an AI design for edge systems …

Capsule Networks (CapsNets) are able to hierarchically preserve the pose relationships
between multiple objects for image classification tasks. Other than achieving high accuracy …

Accepted: 12 March 2023 Early detection of brain tumors (BTs) can save valuable lives. BTs
classification is usually accomplished by using magnetic resonance imaging (MRI), which is …

Prior work has introduced a form of explainable artificial intelligence that is able to precisely
explain, in a human-understandable form, why it makes decisions. It is also able to learn to …

This chapter gives an overview of evolutionary algorithm (EA) based methods applied to the
design of efficient implementations of deep neural networks (DNN). We introduce various …

With the booming development of fifth-generation network technology and Internet of Things,
the number of end-user devices (EDs) and diverse applications is surging, resulting in …